Gulls

GP: 74 | W: 48 | L: 23 | OTL: 3 | P: 99
GF: 447 | GA: 343 | PP%: 47.21% | PK%: 56.96%
GM : Pat Blais | Morale : 50 | Team Overall : 57
Next Games #1169 vs Rampage
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Tom PyattXXX97.006942956567679955366559885369716850650
2Ryan CarpenterXXX97.008055927268637461796170752551517050630
3Chris MuellerXX100.007975876575737663796260665744446550610
4Kyle RauXX100.006761807161818663795962615947476550610
5Wade MeganX100.007571846871808659745856635344446350600
6Mason Marchment (R)X100.008077885977575854505747654544445750550
7Austin OrtegaX100.006560786360575759505262585944446050550
8Hampus Gustafsson (R)XX100.008377976277555751644750654844445750550
9Freddie Tiffels (R)XX100.008074946574525252654456645344445950550
10John Stevens (R)X100.007772896272626650634947624544445550540
11Ben Walker (R)XX100.00586960615351605565535154504444150520
12Jamie McBainX100.007368856568667051254741603944445450570
13Radim SimekX100.007670906670667051254642624044445550570
14Nick DeSimone (R)X99.007972956572626650254143634144445450570
15Dennis RobertsonX100.007578686278667146253839603744445150560
16Hunter Warner (R)X100.008283806583596344253439633744445150560
17Michael PaliottaX100.008177896677545743253140623844445050550
Scratches
1Mitch Hults (R)X100.008480946380626458735458685544446350590
2Erik Karlsson94X100.007364956764606448604744604244445450530
3Andre BenoitX76.217369816569606449254240603844445250550
4Barry GoersX100.006761816561494952255139583744445150530
TEAM AVERAGE98.53756986657062675349495064454646555057
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Louis Domingue97.00616463837151506361608956566150610
2Pheonix Copley98.00547088824956515852523044445550570
Scratches
1Anthony Peters100.00556784745258536054543044445650570
TEAM AVERAGE98.3357677880575551605655504848575058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Ryan CarpenterGulls (Ana)C/LW/RW717411819247484012615532011718123.12%76173224.4017405722104369610910465.77%16716060072.22151341188
2Kyle RauGulls (Ana)C/LW7489921814910850110973859722523.12%50169522.91232851341052028735266.95%2398365092.1335235101510
3Chris MuellerGulls (Ana)C/RW73679616356165115971013199016921.00%69164922.59142438181043254757371.32%1295054131.982573131157
4Wade MeganGulls (Ana)C744471115118745941212296013019.21%59140418.98618247801015424162.78%9084543041.6411324476
5David BoothDucksLW/RW60373471-12064651715710821.64%39115319.22651110731013142253.33%456036021.2300000264
6Mason MarchmentGulls (Ana)LW7436326816433512358134415926.87%47116515.752463332027344245.76%592143011.1700322315
7Ben WalkerGulls (Ana)C/RW54231841363159339107327921.50%3196717.91628847000005059.26%272233000.8500111105
8Radim SimekGulls (Ana)D7473340497860697910136376.93%116174123.535510101101342107100.00%21084100.4600435010
9Dominik MasinDucksD6543438351287098607443365.41%111157724.27156290022080000.00%02978100.4800635010
10Freddie TiffelsGulls (Ana)C/LW69191332-52420526579204224.05%2592613.432022252025145259.09%2861935010.6900013110
11Austin OrtegaGulls (Ana)RW15141327246025957172924.56%927618.45224221000000172.73%1177001.9500000340
12Hampus GustafssonGulls (Ana)C/LW455212621010384334102314.71%1555712.39101160221180065.53%206523000.9300101010
13Dennis RobertsonGulls (Ana)D741192010612583534420182.27%87135718.34112165000154100.00%0667000.2900221001
14John StevensGulls (Ana)C679101981610393944142520.45%196609.860000200221250056.70%194612000.5800011002
15Nick DeSimoneGulls (Ana)D29213151420202331409115.00%3660420.83202239011035000.00%0220000.5000121010
16Tom PyattGulls (Ana)C/LW/RW95914-10012233031016.67%1021223.582133171012140049.42%25956011.3200000100
17Hunter WarnerGulls (Ana)D74113145685059492527104.00%76117215.84033130011140000.00%1663000.2401145001
18Cameron GaunceDucksD193101313674529282581612.00%2242722.50112241022031000.00%0314000.6100423002
19Nate GueninDucksD191121316695524242416104.17%3947224.87123137011028000.00%0418000.5500218010
20Andre BenoitGulls (Ana)D4601111-21201811121170.00%2264314.0000003000031000.00%0133000.3400000000
21Michael PaliottaGulls (Ana)D74178714104237218124.76%4083611.31000010000016000.00%3252000.1900110000
22Jamie McBainGulls (Ana)D1113485591011539.09%2525823.52112119000014000.00%029000.3100010001
23Mitch HultsGulls (Ana)C2022300225350.00%13115.8300000000000071.43%2111001.2600000000
Team Total or Average117244368411273671094680132911992291744124519.34%10242152418.3793142235130109116223846863441762.87%40614498563281.05717393562475252
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Pheonix CopleyGulls (Ana)3722820.8934.252017201431332807030.636113615302
2Joonas KorpisaloDucks1811510.8874.6910374081716435100.00001619001
3Anthony PetersGulls (Ana)117400.8874.985914049433257010.6673927000
4Louis DomingueGulls (Ana)86200.9262.514790120271164000.000082002
Team Total or Average74461930.8944.26412510129327521663140.643146963305


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Andre Benoit (Out of Payroll)Gulls (Ana)D351984-01-06No191 Lbs5 ft11NoNoNo3UFAPro & Farm500,000$0$0$YesLink
Anthony PetersGulls (Ana)G281990-12-31No196 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink
Austin OrtegaGulls (Ana)RW241994-04-12No174 Lbs5 ft8NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Barry GoersGulls (Ana)D321986-06-14No174 Lbs5 ft9NoNoNo3UFAPro & Farm500,000$0$0$NoLink
Ben WalkerGulls (Ana)C/RW251993-06-21Yes190 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Chris MuellerGulls (Ana)C/RW321987-03-06No209 Lbs5 ft11NoNoNo1UFAPro & Farm550,000$0$0$NoLink
Dennis RobertsonGulls (Ana)D271991-05-24No215 Lbs6 ft1NoNoNo2RFAPro & Farm750,000$0$0$NoLink
Erik Karlsson94Gulls (Ana)LW241994-07-28No170 Lbs6 ft0NoNoNo1RFAPro & Farm650,000$0$0$NoLink
Freddie TiffelsGulls (Ana)C/LW231995-05-20Yes201 Lbs6 ft1NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Hampus GustafssonGulls (Ana)C/LW251993-10-26Yes205 Lbs6 ft4NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Hunter WarnerGulls (Ana)D231995-09-21Yes223 Lbs6 ft4NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Jamie McBainGulls (Ana)D291989-07-14 1:21:32 AMNo180 Lbs6 ft1NoNoNo1UFAPro & Farm650,000$0$0$NoLink
John StevensGulls (Ana)C241994-04-17Yes194 Lbs6 ft2NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Kyle RauGulls (Ana)C/LW261992-10-24No178 Lbs5 ft8NoNoNo1RFAPro & Farm650,000$0$0$NoLink
Louis DomingueGulls (Ana)G271992-03-06No210 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$NoLink
Mason MarchmentGulls (Ana)LW241995-03-06Yes201 Lbs6 ft4NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Michael PaliottaGulls (Ana)D251993-04-05No207 Lbs6 ft4NoNoNo1RFAPro & Farm750,000$0$0$NoLink
Mitch HultsGulls (Ana)C241994-11-13Yes218 Lbs6 ft3NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Nick DeSimoneGulls (Ana)D241994-11-21Yes188 Lbs6 ft2NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Pheonix CopleyGulls (Ana)G271992-01-17No196 Lbs6 ft4NoNoNo2RFAPro & Farm850,000$0$0$NoLink
Radim SimekGulls (Ana)D261992-09-20No196 Lbs5 ft11NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Ryan CarpenterGulls (Ana)C/LW/RW281991-01-17No195 Lbs5 ft10NoNoNo1UFAPro & Farm650,000$0$0$NoLink
Tom PyattGulls (Ana)C/LW/RW321987-02-14No185 Lbs5 ft11NoNoNo3UFAPro & Farm1,250,000$0$0$NoLink
Wade MeganGulls (Ana)C281990-07-21No192 Lbs6 ft1NoNoNo1UFAPro & Farm850,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.75195 Lbs6 ft12.00677,083$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan CarpenterTom PyattChris Mueller40122
2Mason MarchmentKyle RauAustin Ortega30122
3Hampus GustafssonWade MeganBen Walker20122
4Tom PyattFreddie TiffelsRyan Carpenter10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick DeSimoneRadim Simek40122
2Jamie McBainDennis Robertson30122
3Hunter WarnerMichael Paliotta20122
4Nick DeSimoneRadim Simek10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ryan CarpenterTom PyattChris Mueller60122
2Mason MarchmentKyle RauAustin Ortega40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick DeSimoneRadim Simek60122
2Jamie McBainDennis Robertson40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tom PyattRyan Carpenter60122
2Chris MuellerKyle Rau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick DeSimoneRadim Simek60122
2Jamie McBainDennis Robertson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tom Pyatt60122Nick DeSimoneRadim Simek60122
2Ryan Carpenter40122Jamie McBainDennis Robertson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tom PyattRyan Carpenter60122
2Chris MuellerKyle Rau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick DeSimoneRadim Simek60122
2Jamie McBainDennis Robertson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ryan CarpenterTom PyattChris MuellerNick DeSimoneRadim Simek
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Ryan CarpenterTom PyattChris MuellerNick DeSimoneRadim Simek
Extra Forwards
Normal PowerPlayPenalty Kill
John Stevens, Wade Megan, Hampus GustafssonJohn Stevens, Wade MeganHampus Gustafsson
Extra Defensemen
Normal PowerPlayPenalty Kill
Hunter Warner, Michael Paliotta, Jamie McBainHunter WarnerMichael Paliotta, Jamie McBain
Penalty Shots
Tom Pyatt, Ryan Carpenter, Chris Mueller, Kyle Rau, Wade Megan
Goalie
#1 : Pheonix Copley, #2 : Louis Domingue


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals312000002020011000000743202000001316-320.33320315100951801679109621831852301393219528675.00%7442.86%1695113261.40%918152360.28%959148864.45%144170215856171442816
2Americans1010000057-2000000000001010000057-200.000591410951801679266218318523037154202150.00%30100.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
3Barracuda532000002119232100000141312110000076160.60021355600951801679153621831852302047241849111.11%3166.67%0695113261.40%918152360.28%959148864.45%144170215856171442816
4Bears2110000011101110000009451010000026-420.500111829009518016795462183185230763462353133.33%6350.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
5Bruins1010000024-2000000000001010000024-200.00023500951801679296218318523043151614300.00%3233.33%0695113261.40%918152360.28%959148864.45%144170215856171442816
6Checkers10001000761000000000001000100076121.0007121900951801679196218318523039124143133.33%2150.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
7Comets3300000023121122000000138511000000104661.000233861009518016791026218318523010929357610660.00%5260.00%2695113261.40%918152360.28%959148864.45%144170215856171442816
8Condors211000007521010000023-11100000052320.50071017009518016795562183185230612643346350.00%4175.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
9Crunch10000010431100000104310000000000021.00045900951801679406218318523033191725200.00%10100.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
10Devils11000000541110000005410000000000021.000510150095180167934621831852302474164375.00%20100.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
11Falcons532000002617932100000149521100000128460.6002639650095180167911062183185230212701529016637.50%10370.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
12Griffins31200000211742110000015961010000068-220.3332133541095180167992621831852301384959478337.50%7357.14%1695113261.40%918152360.28%959148864.45%144170215856171442816
13Heat3110000122202110000001037201000011217-530.50022285000951801679108621831852301325237588562.50%7271.43%0695113261.40%918152360.28%959148864.45%144170215856171442816
14IceCaps11000000761110000007610000000000021.000712190095180167936621831852302972186233.33%000.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
15IceHogs3200001026151122000000177101000001098161.00026396500951801679107621831852301474433589444.44%9455.56%0695113261.40%918152360.28%959148864.45%144170215856171442816
16Marlies10100000714-710100000714-70000000000000.00071017009518016793562183185230601872122100.00%110.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
17Monsters550000003314192200000013763300000020713101.000335083009518016791316218318523017748349214857.14%12375.00%5695113261.40%918152360.28%959148864.45%144170215856171442816
18Moose320000102418632000010241860000000000061.0002436600095180167910762183185230149561065611218.18%13653.85%1695113261.40%918152360.28%959148864.45%144170215856171442816
19Penguins11000000431000000000001100000043121.0004711009518016792562183185230441561622100.00%3166.67%0695113261.40%918152360.28%959148864.45%144170215856171442816
20Phantoms11000000972000000000001100000097221.0009142300951801679296218318523069219112150.00%220.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
21Pirates11000000862000000000001100000086221.000811190095180167952621831852304111422100.00%20100.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
22Rampage321000002413111010000057-2220000001961340.66724396310951801679100621831852301516559539555.56%7357.14%1695113261.40%918152360.28%959148864.45%144170215856171442816
23Reign513001002126-5312000001413120100100713-630.300213253109518016791446218318523021076407616743.75%10550.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
24Senators1010000012-11010000012-10000000000000.00012300951801679226218318523025314214125.00%2150.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
25Sound Tigers10001000651100010006510000000000021.000671300951801679396218318523048204192150.00%2150.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
26Stars532000002420422000000158731200000912-360.600243761009518016791456218318523018171106908562.50%13653.85%2695113261.40%918152360.28%959148864.45%144170215856171442816
Total7443230213244734310438251001020234173613618130111221317043990.66944769111384195180167923186218318523030111031111413621979347.21%1586856.96%16695113261.40%918152360.28%959148864.45%144170215856171442816
28Wild330000001721511000000413220000001311261.000172542019518016799362183185230642332735240.00%10100.00%0695113261.40%918152360.28%959148864.45%144170215856171442816
29Wolf Pack2200000012842200000012840000000000041.000121830009518016796162183185230712121316233.33%3233.33%0695113261.40%918152360.28%959148864.45%144170215856171442816
30Wolves33000000211291100000086222000000136761.000213556009518016791306218318523012347726066100.00%7528.57%0695113261.40%918152360.28%959148864.45%144170215856171442816
31Wolves412000012928110100000811-3311000012117430.375294675009518016791316218318523017553728012758.33%11645.45%3695113261.40%918152360.28%959148864.45%144170215856171442816
_Since Last GM Reset7443230213244734310438251001020234173613618130111221317043990.66944769111384195180167923186218318523030111031111413621979347.21%1586856.96%16695113261.40%918152360.28%959148864.45%144170215856171442816
_Vs Conference55331800112335240952618800000159109502915100011217613145710.64533551785231951801679171062183185230222375783410231447451.39%1134857.52%15695113261.40%918152360.28%959148864.45%144170215856171442816

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7499W244769111382318301110311114136241
All Games
GPWLOTWOTL SOWSOLGFGA
7443232132447343
Home Games
GPWLOTWOTL SOWSOLGFGA
3825101020234173
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3618131112213170
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1979347.21%1586856.96%16
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
62183185230951801679
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
695113261.40%918152360.28%959148864.45%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
144170215856171442816


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2018-10-023Moose5Gulls9WBoxScore
5 - 2018-10-0635Barracuda5Gulls2LBoxScore
6 - 2018-10-0741Gulls3Wolves4LXXBoxScore
7 - 2018-10-0846Gulls9Rampage3WBoxScore
10 - 2018-10-1172Gulls0Stars3LBoxScore
12 - 2018-10-1388Falcons3Gulls7WBoxScore
15 - 2018-10-16108Reign3Gulls1LBoxScore
18 - 2018-10-19128Barracuda3Gulls6WBoxScore
19 - 2018-10-20138Gulls6Wolves7LBoxScore
22 - 2018-10-23159Gulls2Barracuda5LBoxScore
23 - 2018-10-24167Gulls4Monsters2WBoxScore
25 - 2018-10-26177Comets4Gulls8WBoxScore
27 - 2018-10-28198Griffins8Gulls6LBoxScore
30 - 2018-10-31219Gulls7Heat8LXXBoxScore
32 - 2018-11-02230Moose8Gulls9WXXBoxScore
35 - 2018-11-05250Gulls8Falcons2WBoxScore
36 - 2018-11-06261IceHogs4Gulls8WBoxScore
39 - 2018-11-09281Stars7Gulls11WBoxScore
44 - 2018-11-14311Wild1Gulls4WBoxScore
47 - 2018-11-17330Gulls1Reign6LBoxScore
49 - 2018-11-19340Gulls6Admirals7LBoxScore
50 - 2018-11-20349Wolves6Gulls8WBoxScore
53 - 2018-11-23373Sound Tigers5Gulls6WXBoxScore
55 - 2018-11-25386Gulls5Barracuda1WBoxScore
58 - 2018-11-28400Gulls7Admirals9LBoxScore
59 - 2018-11-29413Bears4Gulls9WBoxScore
63 - 2018-12-03437Wolves11Gulls8LBoxScore
64 - 2018-12-04452Gulls5Stars2WBoxScore
66 - 2018-12-06469Stars1Gulls4WBoxScore
69 - 2018-12-09485Gulls7Wolves3WBoxScore
71 - 2018-12-11498Crunch3Gulls4WXXBoxScore
73 - 2018-12-13519Gulls7Checkers6WXBoxScore
75 - 2018-12-15529Gulls5Americans7LBoxScore
76 - 2018-12-16536Monsters2Gulls6WBoxScore
80 - 2018-12-20563Monsters5Gulls7WBoxScore
82 - 2018-12-22574Gulls2Bears6LBoxScore
84 - 2018-12-24586Gulls10Comets4WBoxScore
86 - 2018-12-26595Senators2Gulls1LBoxScore
88 - 2018-12-28612Gulls6Griffins8LBoxScore
90 - 2018-12-30627Griffins1Gulls9WBoxScore
92 - 2019-01-01645Gulls4Stars7LBoxScore
94 - 2019-01-03656Barracuda5Gulls6WBoxScore
98 - 2019-01-07683Gulls6Reign7LXBoxScore
99 - 2019-01-08689Admirals4Gulls7WBoxScore
103 - 2019-01-12716Moose5Gulls6WBoxScore
107 - 2019-01-16742Gulls4Penguins3WBoxScore
108 - 2019-01-17749Rampage7Gulls5LBoxScore
111 - 2019-01-20773Gulls4Falcons6LBoxScore
112 - 2019-01-21779IceHogs3Gulls9WBoxScore
116 - 2019-01-25803Gulls12Wolves6WBoxScore
117 - 2019-01-26810Reign2Gulls6WBoxScore
120 - 2019-01-29838Devils4Gulls5WBoxScore
122 - 2019-01-31848Gulls9Phantoms7WBoxScore
124 - 2019-02-02862Gulls9Monsters1WBoxScore
125 - 2019-02-03870Falcons4Gulls3LBoxScore
127 - 2019-02-05885Gulls8Pirates6WBoxScore
129 - 2019-02-07901Gulls5Heat9LBoxScore
130 - 2019-02-08907Marlies14Gulls7LBoxScore
134 - 2019-02-12934Falcons2Gulls4WBoxScore
136 - 2019-02-14950Gulls6Wolves3WBoxScore
138 - 2019-02-16965Reign8Gulls7LBoxScore
142 - 2019-02-20994IceCaps6Gulls7WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2019-02-221009Gulls9IceHogs8WXXBoxScore
146 - 2019-02-241024Comets4Gulls5WBoxScore
149 - 2019-02-271044Gulls9Wild0WBoxScore
151 - 2019-03-011056Heat3Gulls10WBoxScore
153 - 2019-03-031073Gulls4Wild1WBoxScore
155 - 2019-03-051087Condors3Gulls2LBoxScore
157 - 2019-03-071102Gulls7Monsters4WBoxScore
159 - 2019-03-091117Gulls5Condors2WBoxScore
160 - 2019-03-101120Wolf Pack3Gulls5WBoxScore
161 - 2019-03-111122Gulls2Bruins4LBoxScore
162 - 2019-03-121130Gulls10Rampage3WBoxScore
165 - 2019-03-151151Wolf Pack5Gulls7WBoxScore
168 - 2019-03-181169Gulls-Rampage-
170 - 2019-03-201178Gulls-Condors-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,552,815$ 1,575,000$ 1,310,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,546,085$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 6 9,211$ 55,266$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
201874432302132447343104382510010202341736136181301112213170439944769111384195180167923186218318523030111031111413621979347.21%1586856.96%16695113261.40%918152360.28%959148864.45%144170215856171442816
Total Regular Season74432302132447343104382510010202341736136181301112213170439944769111384195180167923186218318523030111031111413621979347.21%1586856.96%16695113261.40%918152360.28%959148864.45%144170215856171442816